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Full-Text Articles in Genetics and Genomics
Mining Of Correlated Rules In Genome Sequences, L. Lin, L. Wong, Tze-Yun Leong, P. S. Lai
Mining Of Correlated Rules In Genome Sequences, L. Lin, L. Wong, Tze-Yun Leong, P. S. Lai
Research Collection School Of Computing and Information Systems
With the huge amount of data collected by scientists in the molecular genetics community in recent years, there exists a need to develop some novel algorithms based on existing data mining techniques to discover useful information from genome databases. We propose an algorithm that integrates the statistical method, association rule mining, and classification rule mining in the discovery of allelic combinations of genes that are peculiar to certain phenotypes of diseased patients.
An Afternoon With Dr. Freeman Dyson, Freeman Dyson
An Afternoon With Dr. Freeman Dyson, Freeman Dyson
IMSA Great Minds Program ®
Dyson will speak with IMSA students and faculty on a variety of topics including space, origins of the universe, and how science and technology change society. Learn how three burgeoning technologies – solar energy, genetic engineering and the Internet could narrow the gap between rich and poor in this century. Dyson’s visions for the future include forests of genetically enhanced trees oozing high-octane fuel from their roots and laser-launched earthlings colonizing the comets of the Kuiper Belt. Are his visions convincing? You can decide by joining us at IMSA’s website.
The Meowplex: A New Dna Test Using Tetranucleotide Str Markers For The Domestic Cat, John M. Butler, Victor A. David, Stephen J. O'Brien, Marilyn Menotti-Raymond
The Meowplex: A New Dna Test Using Tetranucleotide Str Markers For The Domestic Cat, John M. Butler, Victor A. David, Stephen J. O'Brien, Marilyn Menotti-Raymond
Biology Faculty Articles
No abstract provided.
Comparative Genomic Hybridization Array Analysis, Annette M. Molinaro, Mark J. Van Der Laan, Dan H. Moore
Comparative Genomic Hybridization Array Analysis, Annette M. Molinaro, Mark J. Van Der Laan, Dan H. Moore
U.C. Berkeley Division of Biostatistics Working Paper Series
At the present time, there is increasing evidence that cancer may be regulated by the number of copies of genes in tumor cells. Through microarray technology it is now possible to measure the number of copies of thousands of genes and gene segments in samples of chromosomal DNA. Microarray comparative genomic hybridization (array CGH) provides the opportunity to both measure DNA sequence copy number gains and losses and map these aberrations to the genomic sequence. Gains can signify the over-expression of oncogenes, genes which stimulate cell growth and have become hyperactive, while losses can signify under-expression of tumor suppressor genes, …
A New Partitioning Around Medoids Algorithm, Mark J. Van Der Laan, Katherine S. Pollard, Jennifer Bryan
A New Partitioning Around Medoids Algorithm, Mark J. Van Der Laan, Katherine S. Pollard, Jennifer Bryan
U.C. Berkeley Division of Biostatistics Working Paper Series
Kaufman & Rousseeuw (1990) proposed a clustering algorithm Partitioning Around Medoids (PAM) which maps a distance matrix into a specified number of clusters. A particularly nice property is that PAM allows clustering with respect to any specified distance metric. In addition, the medoids are robust representations of the cluster centers, which is particularly important in the common context that many elements do not belong well to any cluster. Based on our experience in clustering gene expression data, we have noticed that PAM does have problems recognizing relatively small clusters in situations where good partitions around medoids clearly exist. In this …